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Volumn , Issue , 2013, Pages 29-46

Musical knowledge: What can artificial intelligence bring to the musician?

Author keywords

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Indexed keywords


EID: 85070603253     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4324/9780203059746-8     Document Type: Chapter
Times cited : (6)

References (28)
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    • (1992) Understanding Music with AI -Perspectives on Music Cognition , pp. 366-401
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    • A model of representation and communication of music and multimedia knowledge
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    • Camurri, A., Frixione, M., Innocenti, C, and Zacearia, R., A model of representation and communication of music and multimedia knowledge. In Neumann, B., editor, Tenth European Conference on Artificial Intelligence, pages 164-8, Vienna. John Wiley and Sons, Chichester, England, (1992).
    • (1992) Tenth European Conference on Artificial Intelligence , pp. 164-168
    • Camurri, A.1    Frixione, M.2    Innocenti, C.3    Zacearia, R.4
  • 6
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    • Technical Report 91/457/41, Department of Computer Science, University of Calgary, Alberta, Canada
    • Conklin, D. and Witten, I. H., Prediction and entropy of music. Technical Report 91/457/41, Department of Computer Science, University of Calgary, Alberta, Canada, (1991).
    • (1991) Prediction and entropy of music.
    • Conklin, D.1    Witten, I.H.2
  • 9
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    • A (de)composable theory of rhythm perception
    • Desain, P., A (de)composable theory of rhythm perception. Music Perception, 9(4), 439-454, (1992).
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    • Desain, P.1
  • 10
    • 33749435633 scopus 로고
    • A connectionist and a traditional AI quantizer, symbolic versus sub-symbolic models of rhythm perception
    • Desain, P., A connectionist and a traditional AI quantizer, symbolic versus sub-symbolic models of rhythm perception. Contemporary Music Review, 9, 239-254, (1993).
    • (1993) Contemporary Music Review , vol.9 , pp. 239-254
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  • 12
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    • Representing musicsymbolically
    • Genoa, Italy. Also available from Edinburgh as DAI Research Paper No. 562
    • Harris, M., Smaill, A., and Wiggins, G., Representing musicsymbolically. In IX Colloquio di Informatica Musicale, Genoa, Italy. Also available from Edinburgh as DAI Research Paper No. 562, (1991).
    • (1991) IX Colloquio di Informatica Musicale
    • Harris, M.1    Smaill, A.2    Wiggins, G.3
  • 14
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    • Architecture ofa knowledge-based music tutor
    • Elsom-Cook, M., editor, London. Paul Chapman Publishing Ltd
    • Holland, S. and Elsom-Cook, M., Architecture ofa knowledge-based music tutor. In Elsom-Cook, M., editor, Guided Discovery Tutoring, London. Paul Chapman Publishing Ltd. (1990).
    • (1990) Guided Discovery Tutoring
    • Holland, S.1    Elsom-Cook, M.2
  • 17
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    • Hierarchical musicrepresentation for analysis and composition
    • Also available from Edinburgh as DAI Research Paper No. 511
    • Smaill, A., Wiggins, G., and Harris, M., Hierarchical musicrepresentation for analysis and composition. Computers and the Humanities, 27, 7-17. Also available from Edinburgh as DAI Research Paper No. 511, (1993a).
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    • Smaill, A.1    Wiggins, G.2    Harris, M.3
  • 26
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    • Music representation-between the musician and the computer
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    • Smaill, A., Wiggins, G., and Miranda, E., Music representation-between the musician and the computer. In Smith, M., Wiggins, G., and Smaill, A., editors, Music Education: An Artificial Intelligence Perspective. Springer Verlag, London. Also available as DAI Research Paper 668. (1993b).
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    • A framework for the evaluation of music representation systems
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    • Wiggins, G., Miranda, E., Smaill, A., and Harris, M., A framework for the evaluation of music representation systems. Computer Music Journal, 17(3), 31-42. Also available from Edinburgh as DAI Research Paper No. 658, (1993).
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    • Wiggins, G.1    Miranda, E.2    Smaill, A.3    Harris, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.